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» Theory and Applications of Robust Optimization
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ICPR
2006
IEEE
16 years 29 days ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 6 months ago
Evolution of robust data distribution among digital organisms
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...
APCHI
2008
IEEE
15 years 6 months ago
On Generating Backbone Trees through Robust Multi-hop Clusters in Wireless Sensor Networks
Routing through a backbone, which is responsible for performing and managing multipoint communication, reduces the communication overhead and overall energy consumption in wireless...
Inyoung Shin, Moonseong Kim, Hyunseung Choo
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
15 years 3 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
ICIP
2003
IEEE
16 years 1 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos